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Dr. Krishna Kumar P.

Asst. Professor

Krishna Kumar P. currently serves as Assistant Professor(SG) & Dy.CoE at department of Mechanical Engineering, School of Engineering. His areas of research include Design and Analysis, Metal Cutting and Micro Machining.

Qualification: M.E, Ph.D
p_kkumar@cb.amrita.edu
Research Interest: Design & Analysis, Metal Cutting, Micro Machining

Bio

Krishna Kumar P. currently serves as Assistant Professor(SG) & Dy.CoE at Department of Mechanical Engineering, School of Engineering, Coimbatore Campus. His areas of research include Design and Analysis, Metal Cutting and Micro Machining.

Educational Qualification

Degree Year of Completion Name of the Institution Name of the Board / University
Ph D 2017 Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham
ME<pme< p=””></pme<> 2000 PSG College of Technology Bharathiar
BE 1998 Maharaja Engineering College Bharathiar

Experience

S.No

 

Name of the Organisation

 

Period of Service Designation

 

1 Amrita  School of Engineering 01/07/2010 to Present Assistant Professor(SG)
2 Amrita  School of Engineering 01/ 07/2007 to 30/06/2010 Assistant Professor
3 Amrita School of Engineering 01/07 /2004 to  30/06/2007 Senior Lecturer
4 Amrita School of Engineering 02/02-2000 to 30 /06 /2004 Lecturer

Projects

S. No. Name of the Project Name of the Funding Agency Status Project Grant / Assistance (Rs.) Duration of the Project
Process Monitoring and Control of Ultra Precision Machining of Titanium alloys * DRDO Completed
June 2012
14.00 Lakhs 2 years 3 months
2. Fault diagnosis of dynamic mechanical systems based on signal processing using machine learning techniques DRDO Completed
June 2015
28.89 Lakhs 3 years
3 Investigations into the surface integrity of Ti alloys during high speed machining* AR&DB Completed Sept.  2016 Rs.9.06 Lakhs 2 Years
4 Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis DRDO Submitted
October 2016
R.30.90 Lakhs 3 Years

Seminars, Workshops and Conferences Organised

  • Workshop on Condition Monitoring- Welding and Machining and applications – 25th March 2015
  • Two day workshop on Recent Trends in Manufacturing – 27.03.2014 to 28.03.2014 – funded by ISRO
  • CNC Programming and Operations – 07.01.2013 to 11.01.2013
  • Two day workshop on Recent Trends in Machining – 25th and 26th August 2011 –funded by ISRO and DRDO
  • CNC Programming and Operations – 26.12.2011 to 30.12.2011
  • COSMA 2011 – 14.12.2011 to 16.12.2011 – served as a committee member
  • Actively participated in other International Conferences and Workshops Organized by the department in different committees like WCM.,etc.,

Present Responsibilities at Department Level

  • M.Tech Manufacturing Engineering – Program Coordinator
  • M.Tech Project Coordinator Lab In-charge
  • Special Machines BoS Member
  • M.Tech Manufacturing Engineering AUMS coordinator

Present Responsibilities at School Level

Deputy Controller of Examinations

Responsibilities Held

  • Time table in-charge – department level – 7 years
  • Time table coordinator – school level – 5 years
  • B.Tech admission – counselling – seat allotment coordinator – 4 years
  • B.Tech admission – Exhibition in-charge at various venues in Tamilnadu
  • AUMS committee member – school level
  • Department Library in-charge
  • Lab In charge- Lathe and Press
  • Shop Sports Day – Event In-charge
  • Float in-charge – Gokulastami – 2010

Ashram Activities

  • Amala Bharatham Cleaning Programme
  • Food Committee in charge during AMMA’s Birthday celebrations.
  • Crowd control – AMMA visits to Kovai.

Under Review

  • Krishnakumar, P., Rameshkumar K, Ramachandran, K.I., Machine learning based tool condition classification using AE and vibration data in a high speed milling process using wavelet features. Intelligent Decision Technologies: An International Journal, IOS, under review- submitted on 06-01-2017.
  • Krishnakumar, P., Rameshkumar K, Ramachandran, K.I., Acoustic emission based tool condition classification in a precision high speed machining of titanium alloy (Ti-6Al-4V): A machine learning approach. International Journal of Computational Intelligence and Applications, under review- submitted on 15-03-2017.
  • Krishnakumar, P., Rameshkumar K, Ramachandran, K.I., Feature level vibration and acoustic emission sensor signal fusion to improve classification efficiency in tool condition monitoring using machine learning classifiers. IJPHM, under review -submitted on 19-05-2017.
Publications

Conference Paper

SIMULATION OPTIMIZATION IN A KANBAN CONTROLLED FLOW SHOP

Authors : Dr. Krishna Kumar P., A. Sumesh, and K. Ramesh Kumar

Publisher : ORSI – 2008/TIRUPATHI

Conference Proceedings

Vibration based Tool Condition Monitoring (TCM) in machining of Titanium alloy (Ti-6Al-4V) using machine Learning Algorithms

Authors : Dr. Krishna Kumar P., K., R., and Ramachandran, K. I.

Publisher : International Conference on Optimization, Computing Business Analytics (ICOCBA 2012).- ORSI International Conference

Finite Element Modelling of Residual Stress in High Speed Machining of Titanium Alloy

Authors : Dr. Krishna Kumar P., Vishnu, J., Ramachandran, K. I. and Rameshkumar, K.

Publisher : CAE international conference, IIT, Chennai

Simulation optimization in a Kanban Controlled Flowshop

Authors : Dr. Krishna Kumar P., K, R.

Publisher : ORSI International Conference

Finite Difference Modelling of Laser Drilling for Machining Silicon Carbide

Authors : Dr. Krishna Kumar P., K, R.

End milling process parameter optimization using Particle Swarm Optimization Algorithms

Authors : Dr. Krishna Kumar P., K, R.

Publisher : International conference on Emerging Research and Advances in Mechanical Engineering

Productivity Improvement of a Manufacturing Industry Using Value Stream Mapping (VSM) Approach: A case Study in a Discrete Ma1nufacturing Sector

Authors : Dr. Krishna Kumar P., K. Ramesh Kumar, and A. Sumesh

Publisher : International Conference on operational research for urban and rural development (ORURD).

Journal Article

Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques

Authors : Dr. Saimurugan M., Dr. Krishna Kumar P., T. Praveenkumar, and Dr. K. I. Ramachandran

Publisher : Procedia Engineering

A Study on the Classification Ability of Decision Tree and Support Vector Machine in Gearbox Fault Detection

Authors : Dr. Saimurugan M., Dr. Krishna Kumar P., T. Praveenkumar, and Ramachandran, K. I.

Publisher : Applied Mechanics and Materials

Finite Element Modelling and Residual Stress Prediction in End Milling of Ti6Al4Valloy

Authors : Dr. Krishna Kumar P., Sripathi, J., Vijay, P., and Dr. K. I. Ramachandran

Publisher : IOP Conference Series: Materials Science and Engineering

Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach

Authors : Dr. Krishna Kumar P., Dr. Ramesh Kumar K., P. K Marimuthu, and Dr. K. I. Ramachandran

Publisher : International Journal of Machining and Machinability of Materials

Machine Learning Based Tool Condition classification using AE and Vibration data in a High Speed Milling Process Using Wavelet Features

Authors : Dr. Ramesh Kumar K., Dr. Krishna Kumar P., Ramachandran, K. I.

Publisher : Intelligent Decision Technologies: An International Journal

Productivity Improvement of a Manufacturing Enterprise using Lean Tools: A Case Study in Discrete Manufacturing Sector

Authors : Dr. Krishna Kumar P., K. Rameshkumar, Sumesh, A., and T, C. Austin V.

Publisher : Indore Management Journal

Fault Diagnosis of Gearbox Using Machine Learning and Deep Learning Techniques

Authors : Dr. Krishna Kumar P., T. Praveenkumar, Muthusamy, S. M. and I, R. K

Publisher : International Journal of Engineering and Advanced Technology

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